Platform Overview

Unified Platform For
DER Security

Cybersecurity, aggregation, and validation in a single architecture. Deploy where you
need it: cloud, on-premise, or edge.

Detection Latency

< 0 S

Fewer False Positive

< 0 S

DER Device Types

0 +

Zero

Agents Required

THE CHALLENGE

Traditional IT & OT Security Is Blind To DER Threats

Firewalls and SIEM tools can’t inspect DER protocols like IEEE 2030.5, SunSpec, Modbus, OCPP and others. They don’t understand power system physics. An attacker manipulating your grid looks like normal traffic.

Network-Layer Blind Spots

Monitor network traffic, file hashes, IP reputation. Cannot inspect DER protocol payloads. Blind to commands that are syntactically valid but operationally dangerous.

Detects: Malware, phishing, port scans
Misses: Grid manipulation commands, firmware attacks

Built for SCADA, Not DERs

Built for SCADA/PLC environments. Not designed for distributed DER fleets. Require agents on each device — impractical for 10,000+ inverters and energy assets connected to the grid.

Requires: Agent per device Scales to: ~100s of endpoints, not 100,000s

Purpose-Built for DER OT

Purpose-built for DER OT security. Behavioral analysis of power telemetry, protocol-aware deep packet inspection, and physics-based anomaly detection. Zero agents. Sub-second detection.

Detects: Protocol attacks, firmware manipulation, Power IOCs Scales to: 100,000+ endpoints, agentless

Platform Capabilities

Platform Features

Purpose-built cyber-physical security for inverter-dominated grids. At data centers, microgrids, and distributed energy fleets.

Cyber-Physical Intrusion Detection

Physics-informed threat detection. Port validates without commands against real power system behavior: identifies malicious voltage, frequency, and active power manipulation invisible to network-only tools.

Protocol-Native Security

Deep packet inspection and deterministic validation across IEEE 2030.5, SunSpec Modbus, DNP3, OCPP, and CIP-UA — securing the control plane that drives your fleet.

Digital Twin Intelligence

Grid-aware digital twins for behavior modeling, impact estimation, and proactive threat hunting. Simulate real-world grid responses before attacks manifest.

Secure DER Aggregation

Standards-native IEEE 2030.5 aggregation and orchestration for massive DER fleets, VPPs, and grid-edge resources — with built-in PKI, encryption, and remote device access.

Edge AI & Physics Validation

Sub-second protocol inspection. ML-inference on process variables and physics-based command enforcement deployed at substations, microgrids, and remote DER sites.

Fleet Visibility & Risk Posture

Unified system of record for asset posture, protocol behavior, physics validation, and fleet-wide cyber risk — integrated into SOC and grid operations workflows.

What We Detect

Threats, Drift, And Anomalies

Our AI engine uses neural networks and GANs to continuously improve detection accuracy, reduce false positives, and identify both cyber threats and configuration issues.

Cyber Threat Detection

Command injection, firmware tampering, protocol manipulation, unauthorized control sequences, man-in-the-middle attacks on DER communications, and coordinated fleet-level attacks.

Configuration Drift

Detect when device settings deviate from approved configurations — frequency-volt curves, voltage ride-through parameters, power limits, and communication certificates that have expired or been modified.

Operational Anomalies

Identify performance degradation, failing components, firmware bugs, and interoperability issues before they become security incidents. Correlate anomalies across the fleet to detect systemic issues.

Why DERSec

Built Different.Built For DER.

Our AI engine uses neural networks and GANs to continuously improve detection accuracy, reduce false positives, and identify both cyber threats and configuration issues.

01 Agentless

Zero footprint on devices. Passive monitoring through network taps. No agents, no firmware dependencies, no expanded attack surface.

02 Protocol-Native

Natively parses SunSpec Modbus registers, IEEE 2030.5 function sets, DNP3 objects, OCPP structures — not just packets.

03 Continuously Learning

AI fleet adapts to your fleet. Adapts to seasonal patterns, firmware changes, fleet growth. No manual rule tuning. Accuracy compounds.

04 Fleet-Scale

Correlated detection. Spots coordinated attacks across thousands of devices — the kind invisible when monitoring assets individually.

05 Compliance-Ready

Zero footprint on devices. Passive monitoring through network taps. No agents, no firmware dependencies, no expanded attack surface.

06 SOC-Integrated

Works with your stack. Splunk, Sentinel, QRadar, SOAR playbooks. DER-enriched alerts — not noise — with DER-specific context.

DERSec Platform Architecture

SOC & SIEM Integration

Splunk · Sentinel · QRadar

DERSec Sentry — Detection Engine

AI/ML · Physics IOC · Protocol DPI · <1s latency

DERSync Protocol Gateway

IEEE 2030.5 · DNP3 · Modbus · OCPP

DERSlim Digital Twins

HIL/SIL · Simulation · Pre-deploy validation

DER Fleet — Edge Devices

Inverters · BESS · EV Chargers · Meters · VPPs

See DERSec In Action

Request a live demo to see how DERSec Sentry detects threats across your DER fleet in real time.

Unified Platform For DER Security